Papers by Abdelaziz Salah SAIDI
International Journal of ADVANCED AND APPLIED SCIENCES, 2019
This paper developed an enhanced saturation model for synchronous machines based on simulation an... more This paper developed an enhanced saturation model for synchronous machines based on simulation and experimental evaluation. The effect of taking account of cross-saturation is demonstrated. Local saturation factors are defined so as to adjust the flux-density distribution. The method of saturation modelling of dumper synchronous machine with and without cross-saturation is identified. Examples of numerical simulation are given to verify the model and its applications. Through experiments, it is shown that, by using the relationship between magnetizing current and flux as modelled in this paper, the nonlinear behavior of the synchronous machine is quite accurately estimated. Furthermore, the new model is compared with a classical model that neglects mutual saturation effects between a quadrature and direct axis windings.
European Journal of Electrical Engineering, 2016
This paper investigates the impact of integrating large scale photovoltaic power on voltage stabi... more This paper investigates the impact of integrating large scale photovoltaic power on voltage stability in radial distribution networks. Detailed modeling of the photovoltaic systems is presented. The study is based on bifurcation diagrams of photovoltaic generation, load flow analysis, short circuits, photovoltaic farm disconnections and loading conditions. Maximum penetration levels of solar photovoltaic generation are examined using bifurcation diagrams. The study considers is a utility 53 buses radial distribution network. Several aspects are presented and discussed. RÉSUMÉ. L'évolution des réseaux électriques est marquée par des variations continues de leur topologie. En particulier l'intégration des sources renouvelables de plus en plus importantes a soumis ces réseaux à de nouvelles contraintes d'exploitation. A titre d'exemple, les systèmes photovoltaïques (PV) posent de nouveaux problèmes de stabilité aussi bien statique que dynamique, qui ne cessent d'évoluer avec l'accroissement des puissances installées. En effet, l'intégration de ces fermes photovoltaïques influe sur les caractéristiques électriques de fonctionnement du réseau en régime statique, et présente aussi un impact sur son comportement dynamique. Cet article porte sur l'impact d'une intégration massive de l'énergie photovoltaïque sur la stabilité statique et dynamique du réseau de distribution tunisien. Pour cela nous avons mené une étude statique basée sur les diagrammes de bifurcation de tension. Ensuite nous avons entamé le régime transitoire dans un tel système en cas de base et en cas de pénétration photovoltaïque maximale.
Wind Engineering, 2018
At the level of the electrical distribution networks with wind generation, the disturbances may i... more At the level of the electrical distribution networks with wind generation, the disturbances may influence the voltage stability, particularly during low voltage ride-through wind turbine. This research is concerned with studying the effect of implementing different controllers and load types on the low voltage ride-through dynamic recovery performance during disturbances. A conventional proportional–integral–derivative controller is compared with the artificial neural network–based one. The controller construction and its gain are proposed for each type of controller and the impact of each controller on the dynamic behavior of the low voltage ride-through is investigated thoroughly under various operating conditions. Also, the dynamic performance of wind generators is examined with low voltage ride through and different dynamic load models. Both, dynamic induction motor load and composed static and exponential recovery load models are considered. In case of dynamic induction motor l...
International Journal of Bifurcation and Chaos, 2020
This research shows a structural voltage stability analysis of a distribution network incorporati... more This research shows a structural voltage stability analysis of a distribution network incorporating large-scale solar photovoltaic power plant. Detailed modeling of the transmission network and photovoltaic systems is presented and a differential-algebraic equations model is developed. The resulting system state and load-flow Jacobian matrix are reorganized according to the type of the bus system in place of the standard injected complex power equations arrangement. The interactions among system buses for loading tests and solar photovoltaic power penetration are structurally scrutinized. Two-bus bifurcations are revealed to be a predecessor to system voltage collapse. The investigation is carried out by using bifurcation diagrams of photovoltaic generation margin, load-flow analysis, short-circuits, photovoltaic farm disconnections and loading conditions. Furthermore, evaluation of voltage stability reveals that the dynamic component of the voltage strongly depends on fault short-c...
Energy Exploration & Exploitation, 2020
By the year 2023, the Tunisian power transmission grid has been projected to include photovoltaic... more By the year 2023, the Tunisian power transmission grid has been projected to include photovoltaic pool of power of 937 MW, scattered throughout the whole landscape of the nation. This paper investigates high photovoltaic energy penetration impacts voltage regulation and dynamic performance of the grid. Load flow analysis is implemented to investigate the power system capability for the case of incorporating the desired photovoltaic power. Computer-based simulations have been used for evaluating the upgradation of the grid. Moreover, the study is based on bifurcation diagrams taking the photovoltaic generation as a bifurcation parameter and time response simulations to grid disturbances. Professional PSAT simulation toolbox has been used for the power flow simulation studies. Network- related faults like outage of photovoltaic farm event, three-phase short-circuit at a conventional bus, and voltage dip at the largest photovoltaic station have been considered. It is hoped that the res...
Ain Shams Engineering Journal, 2021
Abstract An innovative technique for implementing the maximum power point tracking (MPPT) system ... more Abstract An innovative technique for implementing the maximum power point tracking (MPPT) system for the Photo-Voltaic (PV) panel is proposed in this paper. The system comprises of a Neural Network Estimator (NNE), followed by a conversion coefficient and a calculation stage of the optimal duty cycle. The proposed NNE technique, implemented in MATLAB/Simulink, calculates the ratio of open circuit voltage corresponding to each solar radiation for various value of temperature to the corresponding standard open circuit voltage. A regularization coefficient is determined, which estimates the voltage corresponding to the maximum power directly from the open circuit voltage for each solar radiation. Finally, from the input/output equation of boost converter, the optimal duty cycle is evaluated. Simulation results have been used to assess the system performance for various situations obtained by using an existing photovoltaic model and real weather data, and relevant comparisons are also done to substantiate the performance advantages of the method. The Simulation results demonstrate that the optimization of the P&O MPPT control with a NN algorithm provides better results and performance in terms of accuracy and complexity. The results support the effectiveness and performance of using NNE-based MPPT controller approach. It is demonstrated that this controller can achieve almost 99% of the real PVP maximum power.
Ain Shams Engineering Journal, 2021
An innovative technique for implementing the maximum power point tracking (MPPT) system for the
P... more An innovative technique for implementing the maximum power point tracking (MPPT) system for the
Photo-Voltaic (PV) panel is proposed in this paper. The system comprises of a Neural Network
Estimator (NNE), followed by a conversion coefficient and a calculation stage of the optimal duty cycle.
The proposed NNE technique, implemented in MATLAB/Simulink, calculates the ratio of open circuit voltage corresponding to each solar radiation for various value of temperature to the corresponding standard
open circuit voltage. A regularization coefficient is determined, which estimates the voltage corresponding to the maximum power directly from the open circuit voltage for each solar radiation. Finally, from
the input/output equation of boost converter, the optimal duty cycle is evaluated. Simulation results have
been used to assess the system performance for various situations obtained by using an existing photovoltaic model and real weather data, and relevant comparisons are also done to substantiate the performance advantages of the method. The Simulation results demonstrate that the optimization of the P&O
MPPT control with a NN algorithm provides better results and performance in terms of accuracy and
complexity. The results support the effectiveness and performance of using NNE-based MPPT controller
approach. It is demonstrated that this controller can achieve almost 99% of the real PVP maximum power
Turkish Journal of Chemistry, Jan 24, 2013
Ain Shams Engineering Journal, 2021
An innovative technique for implementing the maximum power point tracking (MPPT) system for the
P... more An innovative technique for implementing the maximum power point tracking (MPPT) system for the
Photo-Voltaic (PV) panel is proposed in this paper. The system comprises of a Neural Network
Estimator (NNE), followed by a conversion coefficient and a calculation stage of the optimal duty cycle.
The proposed NNE technique, implemented in MATLAB/Simulink, calculates the ratio of open circuit voltage
corresponding to each solar radiation for various value of temperature to the corresponding standard
open circuit voltage. A regularization coefficient is determined, which estimates the voltage corresponding
to the maximum power directly from the open circuit voltage for each solar radiation. Finally, from
the input/output equation of boost converter, the optimal duty cycle is evaluated. Simulation results have
been used to assess the system performance for various situations obtained by using an existing photovoltaic
model and real weather data, and relevant comparisons are also done to substantiate the performance
advantages of the method. The Simulation results demonstrate that the optimization of the P&O
MPPT control with a NN algorithm provides better results and performance in terms of accuracy and
complexity. The results support the effectiveness and performance of using NNE-based MPPT controller
approach. It is demonstrated that this controller can achieve almost 99% of the real PVP maximum power.
Energy Exploration & Exploitation., 2020
By the year 2023, the Tunisian power transmission grid has been projected to include photovoltaic... more By the year 2023, the Tunisian power transmission grid has been projected to include photovoltaic
pool of power of 937MW, scattered throughout the whole landscape of the nation. This
paper investigates high photovoltaic energy penetration impacts voltage regulation and dynamic
performance of the grid. Load flow analysis is implemented to investigate the power system
capability for the case of incorporating the desired photovoltaic power. Computer-based simulations
have been used for evaluating the upgradation of the grid. Moreover, the study is based on
bifurcation diagrams taking the photovoltaic generation as a bifurcation parameter and time
response simulations to grid disturbances. Professional PSAT simulation toolbox has been used
for the power flow simulation studies. Network- related faults like outage of photovoltaic farm
event, three-phase short-circuit at a conventional bus, and voltage dip at the largest photovoltaic
station have been considered. It is hoped that the results of the presented study would benefit
Tunisian’s utility’s policies on integration of PV systems. Moreover, this comprehensive analysis
and study will be a valuable guide for assessing and improving the performance of national grid
systems of any other countries also, that gives the huge potential and need for solar energy
penetration into the grid systems.
International Journal of Bifurcation and Chaos, 2021
This research shows a structural voltage stability analysis of a distribution network incorporati... more This research shows a structural voltage stability analysis of a distribution network incorporating
large-scale solar photovoltaic power plant. Detailed modeling of the transmission network
and photovoltaic systems is presented and a differential-algebraic equations model is developed.
The resulting system state and load-flow Jacobian matrix are reorganized according to the type
of the bus system in place of the standard injected complex power equations arrangement. The
interactions among system buses for loading tests and solar photovoltaic power penetration are
structurally scrutinized. Two-bus bifurcations are revealed to be a predecessor to system voltage
collapse. The investigation is carried out by using bifurcation diagrams of photovoltaic generation
margin, load-flow analysis, short-circuits, photovoltaic farm disconnections and loading
conditions. Furthermore, evaluation of voltage stability reveals that the dynamic component of
the voltage strongly depends on fault short-circuit capacity of the power system at the bus,
where, the solar system is integrated. The overall result, which encompasses the views from
the presented transmission network integration studies, is a positive outcome for future grid
integration of solar photovoltaic in the Tunisian system. Tunisia’s utilities policies on integration
of solar photovoltaic in distribution network is expected to benefit from the results of the
presented study. Moreover, given the huge potential and need for solar photovoltaic penetration
into the transmission network, the presented comprehensive analysis will be a valuable
guide for evaluating and improving the performances of national transmission networks of other
countries too.
Uploads
Papers by Abdelaziz Salah SAIDI
Photo-Voltaic (PV) panel is proposed in this paper. The system comprises of a Neural Network
Estimator (NNE), followed by a conversion coefficient and a calculation stage of the optimal duty cycle.
The proposed NNE technique, implemented in MATLAB/Simulink, calculates the ratio of open circuit voltage corresponding to each solar radiation for various value of temperature to the corresponding standard
open circuit voltage. A regularization coefficient is determined, which estimates the voltage corresponding to the maximum power directly from the open circuit voltage for each solar radiation. Finally, from
the input/output equation of boost converter, the optimal duty cycle is evaluated. Simulation results have
been used to assess the system performance for various situations obtained by using an existing photovoltaic model and real weather data, and relevant comparisons are also done to substantiate the performance advantages of the method. The Simulation results demonstrate that the optimization of the P&O
MPPT control with a NN algorithm provides better results and performance in terms of accuracy and
complexity. The results support the effectiveness and performance of using NNE-based MPPT controller
approach. It is demonstrated that this controller can achieve almost 99% of the real PVP maximum power
Photo-Voltaic (PV) panel is proposed in this paper. The system comprises of a Neural Network
Estimator (NNE), followed by a conversion coefficient and a calculation stage of the optimal duty cycle.
The proposed NNE technique, implemented in MATLAB/Simulink, calculates the ratio of open circuit voltage
corresponding to each solar radiation for various value of temperature to the corresponding standard
open circuit voltage. A regularization coefficient is determined, which estimates the voltage corresponding
to the maximum power directly from the open circuit voltage for each solar radiation. Finally, from
the input/output equation of boost converter, the optimal duty cycle is evaluated. Simulation results have
been used to assess the system performance for various situations obtained by using an existing photovoltaic
model and real weather data, and relevant comparisons are also done to substantiate the performance
advantages of the method. The Simulation results demonstrate that the optimization of the P&O
MPPT control with a NN algorithm provides better results and performance in terms of accuracy and
complexity. The results support the effectiveness and performance of using NNE-based MPPT controller
approach. It is demonstrated that this controller can achieve almost 99% of the real PVP maximum power.
pool of power of 937MW, scattered throughout the whole landscape of the nation. This
paper investigates high photovoltaic energy penetration impacts voltage regulation and dynamic
performance of the grid. Load flow analysis is implemented to investigate the power system
capability for the case of incorporating the desired photovoltaic power. Computer-based simulations
have been used for evaluating the upgradation of the grid. Moreover, the study is based on
bifurcation diagrams taking the photovoltaic generation as a bifurcation parameter and time
response simulations to grid disturbances. Professional PSAT simulation toolbox has been used
for the power flow simulation studies. Network- related faults like outage of photovoltaic farm
event, three-phase short-circuit at a conventional bus, and voltage dip at the largest photovoltaic
station have been considered. It is hoped that the results of the presented study would benefit
Tunisian’s utility’s policies on integration of PV systems. Moreover, this comprehensive analysis
and study will be a valuable guide for assessing and improving the performance of national grid
systems of any other countries also, that gives the huge potential and need for solar energy
penetration into the grid systems.
large-scale solar photovoltaic power plant. Detailed modeling of the transmission network
and photovoltaic systems is presented and a differential-algebraic equations model is developed.
The resulting system state and load-flow Jacobian matrix are reorganized according to the type
of the bus system in place of the standard injected complex power equations arrangement. The
interactions among system buses for loading tests and solar photovoltaic power penetration are
structurally scrutinized. Two-bus bifurcations are revealed to be a predecessor to system voltage
collapse. The investigation is carried out by using bifurcation diagrams of photovoltaic generation
margin, load-flow analysis, short-circuits, photovoltaic farm disconnections and loading
conditions. Furthermore, evaluation of voltage stability reveals that the dynamic component of
the voltage strongly depends on fault short-circuit capacity of the power system at the bus,
where, the solar system is integrated. The overall result, which encompasses the views from
the presented transmission network integration studies, is a positive outcome for future grid
integration of solar photovoltaic in the Tunisian system. Tunisia’s utilities policies on integration
of solar photovoltaic in distribution network is expected to benefit from the results of the
presented study. Moreover, given the huge potential and need for solar photovoltaic penetration
into the transmission network, the presented comprehensive analysis will be a valuable
guide for evaluating and improving the performances of national transmission networks of other
countries too.
Photo-Voltaic (PV) panel is proposed in this paper. The system comprises of a Neural Network
Estimator (NNE), followed by a conversion coefficient and a calculation stage of the optimal duty cycle.
The proposed NNE technique, implemented in MATLAB/Simulink, calculates the ratio of open circuit voltage corresponding to each solar radiation for various value of temperature to the corresponding standard
open circuit voltage. A regularization coefficient is determined, which estimates the voltage corresponding to the maximum power directly from the open circuit voltage for each solar radiation. Finally, from
the input/output equation of boost converter, the optimal duty cycle is evaluated. Simulation results have
been used to assess the system performance for various situations obtained by using an existing photovoltaic model and real weather data, and relevant comparisons are also done to substantiate the performance advantages of the method. The Simulation results demonstrate that the optimization of the P&O
MPPT control with a NN algorithm provides better results and performance in terms of accuracy and
complexity. The results support the effectiveness and performance of using NNE-based MPPT controller
approach. It is demonstrated that this controller can achieve almost 99% of the real PVP maximum power
Photo-Voltaic (PV) panel is proposed in this paper. The system comprises of a Neural Network
Estimator (NNE), followed by a conversion coefficient and a calculation stage of the optimal duty cycle.
The proposed NNE technique, implemented in MATLAB/Simulink, calculates the ratio of open circuit voltage
corresponding to each solar radiation for various value of temperature to the corresponding standard
open circuit voltage. A regularization coefficient is determined, which estimates the voltage corresponding
to the maximum power directly from the open circuit voltage for each solar radiation. Finally, from
the input/output equation of boost converter, the optimal duty cycle is evaluated. Simulation results have
been used to assess the system performance for various situations obtained by using an existing photovoltaic
model and real weather data, and relevant comparisons are also done to substantiate the performance
advantages of the method. The Simulation results demonstrate that the optimization of the P&O
MPPT control with a NN algorithm provides better results and performance in terms of accuracy and
complexity. The results support the effectiveness and performance of using NNE-based MPPT controller
approach. It is demonstrated that this controller can achieve almost 99% of the real PVP maximum power.
pool of power of 937MW, scattered throughout the whole landscape of the nation. This
paper investigates high photovoltaic energy penetration impacts voltage regulation and dynamic
performance of the grid. Load flow analysis is implemented to investigate the power system
capability for the case of incorporating the desired photovoltaic power. Computer-based simulations
have been used for evaluating the upgradation of the grid. Moreover, the study is based on
bifurcation diagrams taking the photovoltaic generation as a bifurcation parameter and time
response simulations to grid disturbances. Professional PSAT simulation toolbox has been used
for the power flow simulation studies. Network- related faults like outage of photovoltaic farm
event, three-phase short-circuit at a conventional bus, and voltage dip at the largest photovoltaic
station have been considered. It is hoped that the results of the presented study would benefit
Tunisian’s utility’s policies on integration of PV systems. Moreover, this comprehensive analysis
and study will be a valuable guide for assessing and improving the performance of national grid
systems of any other countries also, that gives the huge potential and need for solar energy
penetration into the grid systems.
large-scale solar photovoltaic power plant. Detailed modeling of the transmission network
and photovoltaic systems is presented and a differential-algebraic equations model is developed.
The resulting system state and load-flow Jacobian matrix are reorganized according to the type
of the bus system in place of the standard injected complex power equations arrangement. The
interactions among system buses for loading tests and solar photovoltaic power penetration are
structurally scrutinized. Two-bus bifurcations are revealed to be a predecessor to system voltage
collapse. The investigation is carried out by using bifurcation diagrams of photovoltaic generation
margin, load-flow analysis, short-circuits, photovoltaic farm disconnections and loading
conditions. Furthermore, evaluation of voltage stability reveals that the dynamic component of
the voltage strongly depends on fault short-circuit capacity of the power system at the bus,
where, the solar system is integrated. The overall result, which encompasses the views from
the presented transmission network integration studies, is a positive outcome for future grid
integration of solar photovoltaic in the Tunisian system. Tunisia’s utilities policies on integration
of solar photovoltaic in distribution network is expected to benefit from the results of the
presented study. Moreover, given the huge potential and need for solar photovoltaic penetration
into the transmission network, the presented comprehensive analysis will be a valuable
guide for evaluating and improving the performances of national transmission networks of other
countries too.